.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ read_pickle
.. autosummary:: :toctree: generated/ read_table read_csv read_fwf
.. autosummary:: :toctree: generated/ read_clipboard
.. autosummary:: :toctree: generated/ read_excel ExcelFile.parse
.. autosummary:: :toctree: generated/ read_json
.. currentmodule:: pandas.io.json
.. autosummary:: :toctree: generated/ json_normalize
.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ read_html
.. autosummary:: :toctree: generated/ read_hdf HDFStore.put HDFStore.append HDFStore.get HDFStore.select
.. autosummary:: :toctree: generated/ read_sas XportReader
.. autosummary:: :toctree: generated/ read_sql_table read_sql_query read_sql
.. currentmodule:: pandas.io.gbq
.. autosummary:: :toctree: generated/ read_gbq to_gbq
.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ read_stata
.. currentmodule:: pandas.io.stata
.. autosummary:: :toctree: generated/ StataReader.data StataReader.data_label StataReader.value_labels StataReader.variable_labels StataWriter.write_file
.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ melt pivot pivot_table crosstab cut qcut merge concat get_dummies factorize
.. autosummary:: :toctree: generated/ isnull notnull
.. autosummary:: :toctree: generated/ to_datetime to_timedelta date_range bdate_range period_range timedelta_range infer_freq
.. autosummary:: :toctree: generated/ eval
.. autosummary:: :toctree: generated/ rolling_count rolling_sum rolling_mean rolling_median rolling_var rolling_std rolling_min rolling_max rolling_corr rolling_corr_pairwise rolling_cov rolling_skew rolling_kurt rolling_apply rolling_quantile rolling_window
.. autosummary:: :toctree: generated/ expanding_count expanding_sum expanding_mean expanding_median expanding_var expanding_std expanding_min expanding_max expanding_corr expanding_corr_pairwise expanding_cov expanding_skew expanding_kurt expanding_apply expanding_quantile
.. autosummary:: :toctree: generated/ ewma ewmstd ewmvar ewmcorr ewmcov
.. autosummary:: :toctree: generated/ Series
- Axes
- index: axis labels
.. autosummary:: :toctree: generated/ Series.values Series.dtype Series.ftype Series.shape Series.nbytes Series.ndim Series.size Series.strides Series.itemsize Series.base Series.T
.. autosummary:: :toctree: generated/ Series.astype Series.copy Series.isnull Series.notnull
.. autosummary:: :toctree: generated/ Series.get Series.at Series.iat Series.ix Series.loc Series.iloc Series.__iter__ Series.iteritems
For more information on .at
, .iat
, .ix
, .loc
, and
.iloc
, see the :ref:`indexing documentation <indexing>`.
.. autosummary:: :toctree: generated/ Series.add Series.sub Series.mul Series.div Series.truediv Series.floordiv Series.mod Series.pow Series.radd Series.rsub Series.rmul Series.rdiv Series.rtruediv Series.rfloordiv Series.rmod Series.rpow Series.combine Series.combine_first Series.round Series.lt Series.gt Series.le Series.ge Series.ne Series.eq
.. autosummary:: :toctree: generated/ Series.apply Series.map Series.groupby
.. autosummary:: :toctree: generated/ Series.abs Series.all Series.any Series.autocorr Series.between Series.clip Series.clip_lower Series.clip_upper Series.corr Series.count Series.cov Series.cummax Series.cummin Series.cumprod Series.cumsum Series.describe Series.diff Series.factorize Series.kurt Series.mad Series.max Series.mean Series.median Series.min Series.mode Series.nlargest Series.nsmallest Series.pct_change Series.prod Series.quantile Series.rank Series.sem Series.skew Series.std Series.sum Series.var Series.unique Series.nunique Series.value_counts
.. autosummary:: :toctree: generated/ Series.align Series.drop Series.drop_duplicates Series.duplicated Series.equals Series.first Series.head Series.idxmax Series.idxmin Series.isin Series.last Series.reindex Series.reindex_like Series.rename Series.reset_index Series.sample Series.select Series.take Series.tail Series.truncate Series.where Series.mask
.. autosummary:: :toctree: generated/ Series.dropna Series.fillna Series.interpolate
.. autosummary:: :toctree: generated/ Series.argsort Series.reorder_levels Series.sort_values Series.sort_index Series.sortlevel Series.swaplevel Series.unstack Series.searchsorted
.. autosummary:: :toctree: generated/ Series.append Series.replace Series.update
.. autosummary:: :toctree: generated/ Series.asfreq Series.asof Series.shift Series.first_valid_index Series.last_valid_index Series.resample Series.tz_convert Series.tz_localize
Series.dt
can be used to access the values of the series as
datetimelike and return several properties.
These can be accessed like Series.dt.<property>
.
Datetime Properties
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_attribute.rst Series.dt.date Series.dt.time Series.dt.year Series.dt.month Series.dt.day Series.dt.hour Series.dt.minute Series.dt.second Series.dt.microsecond Series.dt.nanosecond Series.dt.second Series.dt.week Series.dt.weekofyear Series.dt.dayofweek Series.dt.weekday Series.dt.dayofyear Series.dt.quarter Series.dt.is_month_start Series.dt.is_month_end Series.dt.is_quarter_start Series.dt.is_quarter_end Series.dt.is_year_start Series.dt.is_year_end Series.dt.daysinmonth Series.dt.days_in_month Series.dt.tz Series.dt.freq
Datetime Methods
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_method.rst Series.dt.to_period Series.dt.to_pydatetime Series.dt.tz_localize Series.dt.tz_convert Series.dt.normalize Series.dt.strftime
Timedelta Properties
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_attribute.rst Series.dt.days Series.dt.seconds Series.dt.microseconds Series.dt.nanoseconds Series.dt.components
Timedelta Methods
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_method.rst Series.dt.to_pytimedelta
Series.str
can be used to access the values of the series as
strings and apply several methods to it. These can be acccessed like
Series.str.<function/property>
.
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_method.rst Series.str.capitalize Series.str.cat Series.str.center Series.str.contains Series.str.count Series.str.decode Series.str.encode Series.str.endswith Series.str.extract Series.str.find Series.str.findall Series.str.get Series.str.index Series.str.join Series.str.len Series.str.ljust Series.str.lower Series.str.lstrip Series.str.match Series.str.normalize Series.str.pad Series.str.partition Series.str.repeat Series.str.replace Series.str.rfind Series.str.rindex Series.str.rjust Series.str.rpartition Series.str.rstrip Series.str.slice Series.str.slice_replace Series.str.split Series.str.rsplit Series.str.startswith Series.str.strip Series.str.swapcase Series.str.title Series.str.translate Series.str.upper Series.str.wrap Series.str.zfill Series.str.isalnum Series.str.isalpha Series.str.isdigit Series.str.isspace Series.str.islower Series.str.isupper Series.str.istitle Series.str.isnumeric Series.str.isdecimal Series.str.get_dummies
If the Series is of dtype category
, Series.cat
can be used to change the the categorical
data. This accessor is similar to the Series.dt
or Series.str
and has the
following usable methods and properties:
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_attribute.rst Series.cat.categories Series.cat.ordered Series.cat.codes
.. autosummary:: :toctree: generated/ :template: autosummary/accessor_method.rst Series.cat.rename_categories Series.cat.reorder_categories Series.cat.add_categories Series.cat.remove_categories Series.cat.remove_unused_categories Series.cat.set_categories Series.cat.as_ordered Series.cat.as_unordered
To create a Series of dtype category
, use cat = s.astype("category")
.
The following two Categorical
constructors are considered API but should only be used when
adding ordering information or special categories is need at creation time of the categorical data:
.. autosummary:: :toctree: generated/ :template: autosummary/class_without_autosummary.rst Categorical
.. autosummary:: :toctree: generated/ Categorical.from_codes
np.asarray(categorical)
works by implementing the array interface. Be aware, that this converts
the Categorical back to a numpy array, so levels and order information is not preserved!
.. autosummary:: :toctree: generated/ Categorical.__array__
.. autosummary:: :toctree: generated/ Series.hist Series.plot
.. autosummary:: :toctree: generated/ Series.from_csv Series.to_pickle Series.to_csv Series.to_dict Series.to_frame Series.to_hdf Series.to_sql Series.to_msgpack Series.to_json Series.to_sparse Series.to_dense Series.to_string Series.to_clipboard
.. autosummary:: :toctree: generated/ SparseSeries.to_coo SparseSeries.from_coo
.. autosummary:: :toctree: generated/ DataFrame
Axes
- index: row labels
- columns: column labels
.. autosummary:: :toctree: generated/ DataFrame.as_matrix DataFrame.dtypes DataFrame.ftypes DataFrame.get_dtype_counts DataFrame.get_ftype_counts DataFrame.select_dtypes DataFrame.values DataFrame.axes DataFrame.ndim DataFrame.size DataFrame.shape
.. autosummary:: :toctree: generated/ DataFrame.astype DataFrame.convert_objects DataFrame.copy DataFrame.isnull DataFrame.notnull
.. autosummary:: :toctree: generated/ DataFrame.head DataFrame.at DataFrame.iat DataFrame.ix DataFrame.loc DataFrame.iloc DataFrame.insert DataFrame.__iter__ DataFrame.iteritems DataFrame.iterrows DataFrame.itertuples DataFrame.lookup DataFrame.pop DataFrame.tail DataFrame.xs DataFrame.isin DataFrame.where DataFrame.mask DataFrame.query
For more information on .at
, .iat
, .ix
, .loc
, and
.iloc
, see the :ref:`indexing documentation <indexing>`.
.. autosummary:: :toctree: generated/ DataFrame.add DataFrame.sub DataFrame.mul DataFrame.div DataFrame.truediv DataFrame.floordiv DataFrame.mod DataFrame.pow DataFrame.radd DataFrame.rsub DataFrame.rmul DataFrame.rdiv DataFrame.rtruediv DataFrame.rfloordiv DataFrame.rmod DataFrame.rpow DataFrame.lt DataFrame.gt DataFrame.le DataFrame.ge DataFrame.ne DataFrame.eq DataFrame.combine DataFrame.combine_first
.. autosummary:: :toctree: generated/ DataFrame.apply DataFrame.applymap DataFrame.groupby
.. autosummary:: :toctree: generated/ DataFrame.abs DataFrame.all DataFrame.any DataFrame.clip DataFrame.clip_lower DataFrame.clip_upper DataFrame.corr DataFrame.corrwith DataFrame.count DataFrame.cov DataFrame.cummax DataFrame.cummin DataFrame.cumprod DataFrame.cumsum DataFrame.describe DataFrame.diff DataFrame.eval DataFrame.kurt DataFrame.mad DataFrame.max DataFrame.mean DataFrame.median DataFrame.min DataFrame.mode DataFrame.pct_change DataFrame.prod DataFrame.quantile DataFrame.rank DataFrame.sem DataFrame.skew DataFrame.sum DataFrame.std DataFrame.var
.. autosummary:: :toctree: generated/ DataFrame.add_prefix DataFrame.add_suffix DataFrame.align DataFrame.drop DataFrame.drop_duplicates DataFrame.duplicated DataFrame.equals DataFrame.filter DataFrame.first DataFrame.head DataFrame.idxmax DataFrame.idxmin DataFrame.last DataFrame.reindex DataFrame.reindex_axis DataFrame.reindex_like DataFrame.rename DataFrame.reset_index DataFrame.sample DataFrame.select DataFrame.set_index DataFrame.tail DataFrame.take DataFrame.truncate
.. autosummary:: :toctree: generated/ DataFrame.dropna DataFrame.fillna DataFrame.replace
.. autosummary:: :toctree: generated/ DataFrame.pivot DataFrame.reorder_levels DataFrame.sort_values DataFrame.sort_index DataFrame.sortlevel DataFrame.nlargest DataFrame.nsmallest DataFrame.swaplevel DataFrame.stack DataFrame.unstack DataFrame.T DataFrame.to_panel DataFrame.transpose
.. autosummary:: :toctree: generated/ DataFrame.append DataFrame.assign DataFrame.join DataFrame.merge DataFrame.update
.. autosummary:: :toctree: generated/ DataFrame.asfreq DataFrame.shift DataFrame.first_valid_index DataFrame.last_valid_index DataFrame.resample DataFrame.to_period DataFrame.to_timestamp DataFrame.tz_convert DataFrame.tz_localize
.. autosummary:: :toctree: generated/ DataFrame.boxplot DataFrame.hist DataFrame.plot
.. autosummary:: :toctree: generated/ DataFrame.from_csv DataFrame.from_dict DataFrame.from_items DataFrame.from_records DataFrame.info DataFrame.to_pickle DataFrame.to_csv DataFrame.to_hdf DataFrame.to_sql DataFrame.to_dict DataFrame.to_excel DataFrame.to_json DataFrame.to_html DataFrame.to_latex DataFrame.to_stata DataFrame.to_msgpack DataFrame.to_gbq DataFrame.to_records DataFrame.to_sparse DataFrame.to_dense DataFrame.to_string DataFrame.to_clipboard
.. autosummary:: :toctree: generated/ Panel
Axes
- items: axis 0; each item corresponds to a DataFrame contained inside
- major_axis: axis 1; the index (rows) of each of the DataFrames
- minor_axis: axis 2; the columns of each of the DataFrames
.. autosummary:: :toctree: generated/ Panel.values Panel.axes Panel.ndim Panel.size Panel.shape Panel.dtypes Panel.ftypes Panel.get_dtype_counts Panel.get_ftype_counts
.. autosummary:: :toctree: generated/ Panel.astype Panel.copy Panel.isnull Panel.notnull
.. autosummary:: :toctree: generated/ Panel.get_value Panel.set_value
.. autosummary:: :toctree: generated/ Panel.at Panel.iat Panel.ix Panel.loc Panel.iloc Panel.__iter__ Panel.iteritems Panel.pop Panel.xs Panel.major_xs Panel.minor_xs
For more information on .at
, .iat
, .ix
, .loc
, and
.iloc
, see the :ref:`indexing documentation <indexing>`.
.. autosummary:: :toctree: generated/ Panel.add Panel.sub Panel.mul Panel.div Panel.truediv Panel.floordiv Panel.mod Panel.pow Panel.radd Panel.rsub Panel.rmul Panel.rdiv Panel.rtruediv Panel.rfloordiv Panel.rmod Panel.rpow Panel.lt Panel.gt Panel.le Panel.ge Panel.ne Panel.eq
.. autosummary:: :toctree: generated/ Panel.apply Panel.groupby
.. autosummary:: :toctree: generated/ Panel.abs Panel.clip Panel.clip_lower Panel.clip_upper Panel.count Panel.cummax Panel.cummin Panel.cumprod Panel.cumsum Panel.max Panel.mean Panel.median Panel.min Panel.pct_change Panel.prod Panel.sem Panel.skew Panel.sum Panel.std Panel.var
.. autosummary:: :toctree: generated/ Panel.add_prefix Panel.add_suffix Panel.drop Panel.equals Panel.filter Panel.first Panel.last Panel.reindex Panel.reindex_axis Panel.reindex_like Panel.rename Panel.sample Panel.select Panel.take Panel.truncate
.. autosummary:: :toctree: generated/ Panel.dropna Panel.fillna
.. autosummary:: :toctree: generated/ Panel.sort_index Panel.swaplevel Panel.transpose Panel.swapaxes Panel.conform
.. autosummary:: :toctree: generated/ Panel.join Panel.update
.. autosummary:: :toctree: generated/ Panel.asfreq Panel.shift Panel.resample Panel.tz_convert Panel.tz_localize
.. autosummary:: :toctree: generated/ Panel.from_dict Panel.to_pickle Panel.to_excel Panel.to_hdf Panel.to_json Panel.to_sparse Panel.to_frame Panel.to_clipboard
.. autosummary:: :toctree: generated/ Panel4D
Axes
- labels: axis 1; each label corresponds to a Panel contained inside
- items: axis 2; each item corresponds to a DataFrame contained inside
- major_axis: axis 3; the index (rows) of each of the DataFrames
- minor_axis: axis 4; the columns of each of the DataFrames
.. autosummary:: :toctree: generated/ Panel4D.values Panel4D.axes Panel4D.ndim Panel4D.size Panel4D.shape Panel4D.dtypes Panel4D.ftypes Panel4D.get_dtype_counts Panel4D.get_ftype_counts
.. autosummary:: :toctree: generated/ Panel4D.astype Panel4D.copy Panel4D.isnull Panel4D.notnull
Many of these methods or variants thereof are available on the objects that contain an index (Series/Dataframe) and those should most likely be used before calling these methods directly.
.. autosummary:: :toctree: generated/ Index
.. autosummary:: :toctree: generated/ Index.values Index.is_monotonic Index.is_monotonic_increasing Index.is_monotonic_decreasing Index.is_unique Index.has_duplicates Index.dtype Index.inferred_type Index.is_all_dates Index.shape Index.nbytes Index.ndim Index.size Index.strides Index.itemsize Index.base Index.T
.. autosummary:: :toctree: generated/ Index.all Index.any Index.argmin Index.argmax Index.copy Index.delete Index.drop Index.drop_duplicates Index.duplicated Index.equals Index.factorize Index.identical Index.insert Index.min Index.max Index.reindex Index.repeat Index.take Index.putmask Index.set_names Index.unique Index.nunique Index.value_counts
.. autosummary:: :toctree: generated/ Index.astype Index.tolist Index.to_datetime Index.to_series
.. autosummary:: :toctree: generated/ Index.argsort Index.sort_values
.. autosummary:: :toctree: generated/ Index.shift
.. autosummary:: :toctree: generated/ Index.append Index.join Index.intersection Index.union Index.difference Index.sym_diff
.. autosummary:: :toctree: generated/ Index.get_indexer Index.get_indexer_non_unique Index.get_level_values Index.get_loc Index.get_value Index.isin Index.slice_indexer Index.slice_locs
.. autosummary:: :toctree: generated/ CategoricalIndex
.. autosummary:: :toctree: generated/ CategoricalIndex.codes CategoricalIndex.categories CategoricalIndex.ordered CategoricalIndex.rename_categories CategoricalIndex.reorder_categories CategoricalIndex.add_categories CategoricalIndex.remove_categories CategoricalIndex.remove_unused_categories CategoricalIndex.set_categories CategoricalIndex.as_ordered CategoricalIndex.as_unordered
.. autosummary:: :toctree: generated/ DatetimeIndex
.. autosummary:: :toctree: generated/ DatetimeIndex.year DatetimeIndex.month DatetimeIndex.day DatetimeIndex.hour DatetimeIndex.minute DatetimeIndex.second DatetimeIndex.microsecond DatetimeIndex.nanosecond DatetimeIndex.date DatetimeIndex.time DatetimeIndex.dayofyear DatetimeIndex.weekofyear DatetimeIndex.week DatetimeIndex.dayofweek DatetimeIndex.weekday DatetimeIndex.quarter DatetimeIndex.tz DatetimeIndex.freq DatetimeIndex.freqstr DatetimeIndex.is_month_start DatetimeIndex.is_month_end DatetimeIndex.is_quarter_start DatetimeIndex.is_quarter_end DatetimeIndex.is_year_start DatetimeIndex.is_year_end DatetimeIndex.inferred_freq
.. autosummary:: :toctree: generated/ DatetimeIndex.indexer_at_time DatetimeIndex.indexer_between_time
.. autosummary:: :toctree: generated/ DatetimeIndex.normalize DatetimeIndex.snap DatetimeIndex.tz_convert DatetimeIndex.tz_localize
.. autosummary:: :toctree: generated/ DatetimeIndex.to_datetime DatetimeIndex.to_period DatetimeIndex.to_perioddelta DatetimeIndex.to_pydatetime DatetimeIndex.to_series
.. autosummary:: :toctree: generated/ TimedeltaIndex
.. autosummary:: :toctree: generated/ TimedeltaIndex.days TimedeltaIndex.seconds TimedeltaIndex.microseconds TimedeltaIndex.nanoseconds TimedeltaIndex.components TimedeltaIndex.inferred_freq
.. autosummary:: :toctree: generated/ TimedeltaIndex.to_pytimedelta TimedeltaIndex.to_series
.. currentmodule:: pandas.core.groupby
GroupBy objects are returned by groupby calls: :func:`pandas.DataFrame.groupby`, :func:`pandas.Series.groupby`, etc.
.. autosummary:: :toctree: generated/ GroupBy.__iter__ GroupBy.groups GroupBy.indices GroupBy.get_group
.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ Grouper
.. currentmodule:: pandas.core.groupby
.. autosummary:: :toctree: generated/ GroupBy.apply GroupBy.aggregate GroupBy.transform
.. autosummary:: :toctree: generated/ GroupBy.count GroupBy.cumcount GroupBy.first GroupBy.head GroupBy.last GroupBy.max GroupBy.mean GroupBy.median GroupBy.min GroupBy.nth GroupBy.ohlc GroupBy.prod GroupBy.size GroupBy.sem GroupBy.std GroupBy.sum GroupBy.var GroupBy.tail
The following methods are available in both SeriesGroupBy
and
DataFrameGroupBy
objects, but may differ slightly, usually in that
the DataFrameGroupBy
version usually permits the specification of an
axis argument, and often an argument indicating whether to restrict
application to columns of a specific data type.
.. autosummary:: :toctree: generated/ DataFrameGroupBy.bfill DataFrameGroupBy.cummax DataFrameGroupBy.cummin DataFrameGroupBy.cumprod DataFrameGroupBy.cumsum DataFrameGroupBy.describe DataFrameGroupBy.all DataFrameGroupBy.any DataFrameGroupBy.corr DataFrameGroupBy.cov DataFrameGroupBy.diff DataFrameGroupBy.ffill DataFrameGroupBy.fillna DataFrameGroupBy.hist DataFrameGroupBy.idxmax DataFrameGroupBy.idxmin DataFrameGroupBy.mad DataFrameGroupBy.pct_change DataFrameGroupBy.plot DataFrameGroupBy.quantile DataFrameGroupBy.rank DataFrameGroupBy.resample DataFrameGroupBy.shift DataFrameGroupBy.skew DataFrameGroupBy.take DataFrameGroupBy.tshift
The following methods are available only for SeriesGroupBy
objects.
.. autosummary:: :toctree: generated/ SeriesGroupBy.nlargest SeriesGroupBy.nsmallest SeriesGroupBy.nunique SeriesGroupBy.unique SeriesGroupBy.value_counts
The following methods are available only for DataFrameGroupBy
objects.
.. autosummary:: :toctree: generated/ DataFrameGroupBy.corrwith DataFrameGroupBy.boxplot
.. currentmodule:: pandas
.. autosummary:: :toctree: generated/ describe_option reset_option get_option set_option option_context